Triple
T5338268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hardy–Ramanujan asymptotic formula |
E123877
|
entity |
| Predicate | hasDenominatorFactor |
P63072
|
FINISHED |
| Object | 4n\sqrt{3} |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 4n\sqrt{3} | Statement: [Hardy–Ramanujan asymptotic formula, hasDenominatorFactor, 4n\sqrt{3}]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDenominatorFactor
Context triple: [Hardy–Ramanujan asymptotic formula, hasDenominatorFactor, 4n\sqrt{3}]
-
A.
hasFraction
Indicates that one entity represents a fractional part or proportion of another entity.
-
B.
isQuotientOf
Indicates that one quantity is the result of dividing another quantity by a specified divisor.
-
C.
usesDivisor
Indicates that one entity employs another entity as a divisor in a division or modular arithmetic operation.
-
D.
isDividedBy
Indicates that one quantity or entity serves as the divisor that evenly or proportionally separates another quantity or entity into parts.
-
E.
hasProportion
Indicates that one entity stands in a specified ratio, fraction, or relative share to another entity or whole.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd464b07f8819095aa76577c9829e4 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85e86edc81908d87933db6489f91 |
completed | March 20, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69bd845a62b081909782863865b257a9 |
completed | March 20, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69bd85e69e808190b29548670fd2900a |
completed | March 20, 2026, 5:37 p.m. |
Created at: March 20, 2026, 2 p.m.